This Project Grant award of $285,694, provided by the National Science Foundation (NSF) under the Integrative Activities program (CFDA 47.083), aims to develop a safe online hierarchical learning framework for Open Radio Access Network (O-RAN) mobile networks. The key goals are to enable online resource allocation at near-real-time RICs using safe deep reinforcement learning, and online service orchestration at non-real-time RICs through robust Bayesian learning. Additionally, the project will...
This $125,540 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support research to develop techniques that enable emerging cellular technologies like 5G/6G to meet the stringent connectivity requirements of innovative societal applications such as augmented reality, telerobotics, and Internet-of-Things. The key focus is on advancing Radio Access Network (RAN) slicing, a 5G feature that allows...
This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering program (CFDA 47.070) provides $122,598 to The Research Foundation For The State University Of New York (operating as State University College) to develop a system for automated resource management of 5G-enabled Internet of Things (IoT) devices. The key objectives are to: a) design 5G network slicing using massive MIMO for IoT devices, b) develop a reinforcement learning model to...
This Project Grant award, provided by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program, aims to coordinate a reference open-source system community for future-generation wireless networks. The $1,500,000 award to Northeastern University, with a project period from July 2025 to June 2027, combines different open-source tools to create a complete, user-friendly open-source reference architecture for 5G and future networks. The project...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $300,000 to Purdue University from October 1, 2023 to September 30, 2026. The project aims to develop advanced machine learning and optimization techniques to enable autonomous resource management in next-generation wireless networks, with a focus on improving quality-of-experience for augmented reality applications. Key objectives...
This Project Grant award, funded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, supports research towards scalable and AI-based solutions for beyond-5G radio access networks. The $272,372 award to Arizona State University (ASU) will develop AI-based resource allocation approaches to enable large-scale cell-free massive MIMO networks, along with network planning and waveform constraint methodologies to address scalable...
This National Science Foundation (NSF) award under the Computer and Information Science and Engineering (CFDA 47.070) program provides $500,000.00 to the University of Nebraska to develop an intelligent real-time traffic analysis framework and application-aware networking capabilities. The objectives are to: Integrate online-offline machine learning approaches for real-time network traffic analysis and prediction. Implement scalable techniques for analyzing Internet-scale network flow data in...
This $700,000 Project Grant award, funded by the National Science Foundation (NSF) Division of Computer and Network Systems under the CFDA 47.070 Computer and Information Science and Engineering program, supports research to enable intelligent, real-time control and optimization of next-generation cellular wireless networks. The Texas A&M Engineering Experiment Station (Tees), a division of the Texas A&M University System, is leading this collaborative research effort. The project aims...
This Project Grant award, valued at $900,000.00 and funded by the National Science Foundation Division of Computer and Network Systems under CFDA Program 47.070 Computer and Information Science and Engineering, supports research at Northeastern University to enhance the security of next-generation cellular networks. The project studies security threats to machine learning algorithms used in open radio access network (Open RAN) architectures and develops solutions to protect them. Key project...
This Project Grant award of $165,874 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program aims to develop scalable, machine learning-based analytics for wireless network management. The research will focus on compressing raw network data through novel summaries and sketches, enabling highly accurate and scalable distributed learning approaches based on federated learning, and flexible allocation of bandwidth to support control plane...